LINCS L1000 is a NIH funded project that has measured the expression levels of 1000 genes in 1.4 million experiments for 78 different cell types in the presence of over 40,000 chemical compounds. Our goal is to infer changes in genetic interactions that result from these perturbations in order to understand the pathways affected by known drugs and identify potential candidates for new drugs. I will describe new software for inferring genetic networks that is more accurate, more scalable and 300x faster than its predecessor that will be applied to this data. I will also describe a new much faster and more compact processing pipeline that increases the accuracy of the underlying gene expression data.
Inference of genetic networks from large scale expression data
Date of Presentation:
Wednesday, May 27, 2015